• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.137-146
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• 2022

In relation to the travel itinerary recommendation service, which has recently become in high demand, our previous work introduces a method to quantify the popularity of places including tour spots, restaurants, and accommodations through social big data analysis, and to create a travel schedule based on the analysis results. On the other hand, the generated schedule was mainly composed of travel routes that connected tour spots with the shorted distance, and detailed schedule information including restaurants and accommodation information for each travel date was not provided. This paper presents an algorithm for constructing a detailed travel route using a scenario template in a travel schedule created based on social big data, and introduces a prototype system that implements it. The proposed system consists of modules such as place information collection, place-specific popularity score estimation, shortest travel rout generation, daily schedule organization, and UI visualization. Experiments conducted based on social reviews collected from 63,000 places in the Gyeongnam province proved effectiveness of the proposed system.

• Convergence Security Journal
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• v.23 no.3
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• pp.57-64
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• 2023

Due to the COVID-19 pandemic, the broadcasting industry has been greatly affected, to the extent that the footprint of travel programs has disappeared. Although travel programs have been back on the air since 2022, there remains a task of recovering the stagnant desire for travel. Based on a study that travel programs have a positive impact on viewers' travel intentions, this study examined a data service that provides preferred additional information on travel programs, considering the broadcasting environment of satellite broadcasters that transmit multiple travel programs through various channels. Specifically, preferred additional information was investigated for travel programs of various genres and formats, and a feature model based on FODA was designed to be used when the satellite broadcaster decides the data service configuration. In addition, the necessary information for operating the data service was defined based on the feature model, and a method of transmitting it using the DVB-S SI, a domestic satellite broadcasting standard, was devised. The feasibility of this study was also confirmed using a DVB-MHP based data service prototype.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.4 no.3 s.8
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• pp.51-59
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• 2005

To improve the quality of bus service, providing bus ravel time information to passenger through station screen. Generally, bus travel time information predict by using previous bus data such as neural network, Kalman filtering, and moving average algorithms. However, when they got a difficulty about bus travel time information because of the missing previous bus data, they use pattern data. Generally, nevertheless the difference of range is big. Hence in this research to calculate the bus travel time information when the bus information is missed, use queue detector's data which set up in link. The application of several factors which influence in bus link travel time, we used CORSIM Version 5.1 simulation package.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.6
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• pp.1443-1448
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• 2007

In this paper, we implement a distributed computing environment-based travel information service that can use web(internet) and speech interface at the same time and can apply location information, using voice and web browser-based VoiceXML and GPS, to escape the limitations of traditional web(internet)-based travel information services. Because of IVR(Interactive Voice Response) of traditional call center has operated to a pre-installation scenario, it takes much a service time and has the inconveniences that must repeat speech recording according to the revised scenarios in case change response contents. However, suggested VoiceXML and GPS-based travel information service system has advantages that reorganization of system setups is easy, because it consists of the method to update server after make individual conversation scenarios by file format(document), and can provide usefully various travel information in environmental restriction conditions such as the back regions environment, according as our prototype find user's present location using GPS information and then provide various travel information service by this information.

• Convergence Security Journal
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• v.21 no.3
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• pp.67-73
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• 2021

According to a survey by the Korea Tourism Organization in 2018 and 2019, traveling to places recorded in TV programs or influential videos has become an important travel trend and several studies show that watching a travel program improves the intention to visit the places featured on the program. This study designed a travel program-linked data service that provides additional information on the places and events to the viewers of the travel program. Specifically, the additional information of the travel program was defined in a formal manner by dividing it into places and events, and a method of exposure of the additional information conformed to the contents of the program was designed. We also devised an international standard DVB-based data transmission method that provides the additional information to data services appropriately in time for program broadcasting. This study is significant in that it tested new applications of data services for travel programs.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.6
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• pp.1433-1448
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• 2013

This study presents empirical evidence of the benefit of viewing narrative video clips on embedded virtual reality (VR) websites of hotels to relieve travel anxiety. As the effectiveness of using VR functions to relieve travel anxiety has been shown, we proposed that a VR website enhanced with narrative video clips could relieve travelers' anxiety about accommodations by showing the important aspects of a hotel. Thus, we created a website with a narrative video showing the escape route from a hotel room and another narrative video showing the surrounding neighborhood. We then conducted experiments by having human subjects explore the enhanced VR website and fill out a questionnaire. The results confirmed our hypothesis that there is a statistically significant relationship between relief from travel anxiety and the use of narrative videos on embedded VR websites of hotels.

• Journal of the Korea Fashion and Costume Design Association
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• v.19 no.2
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• pp.117-128
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• 2017

This study confirmed the types of shopping information sources during travel abroad, and developed a profile of tourists in terms of demographics, travel, and shopping behavior. Shopping information sources and characteristics of shopping products were identified first. Thereafter, travelers were segmented by their information-seeking behavior. An online survey method was used to get data from Korean vacationers in their 20s-50s, while factor analysis, cluster analysis, ${\chi}^2$ test and ANOVA were applied to analyze data. The results were as follows. First, the shopping information sources of overseas tourists were composed of four factors including sources from travel agents/media, information from travel books and local sources, and word-of-mouth sources. Also, four factors in product types and four product attributes were identified. Second, tourists were clustered into two groups, active and passive shopping information seekers, based on shopping source behavior. Third, two groups differed in terms of demographics, showing an older age and higher income for active shopping source seekers. Active shopping information users tended to join package trips with family members, and they were more satisfied with the trip. With regard to shopping, active shopping source seekers spent more money for shopping and preferred all kinds of shopping goods with an emphasis on travel shopping. In conclusion, shopping information sources seemed to be a meaningful tool for segmenting tourists. Rich, older, family tourists would be an major target market for local retailers.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.3
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• pp.99-106
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• 2017

With the increased interest in the quality of life of modern people, the implementation of the five-day working week, the increase in traffic convenience, and the economic and social development, domestic and international travel is becoming commonplace. Furthermore, in the past, there were many cases of purchasing packaged goods of specialized travel agencies. However, as the development of the Internet improved the accessibility of information about the travel area, the tourist is changing the trend to plan the trip such as the choice of the destination. Web services have been introduced to recommend travel destinations and travel routes according to these needs of the customers. Therefore, after reviewing some of the most popular web services today, such as Stubby planner (http://www.stubbyplanner.com) and Earthtory (http://www.earthtory.com), they were supposed to be based on traditional Traveling Salesman Problems (TSPs), and the travel routes recommended by them included some practical limitations. That is, they were not considered important issues in the actual journey, such as the use of various transportation, travel expenses, the number of days, and lodging. Moreover, although to recommend travel destinations, there have been various studies such as using IoT (Internet of Things) technology and the analysis of cyberspatial Big Data on the web and SNS (Social Networking Service), there is little research to support travel routes considering the practical constraints. Therefore, this study proposes a new mathematical model for applying to travel route recommendation service, and it is verified by numerical experiments on travel to Jeju Island and trip to Europe including Germany, France and Czech Republic. It also expects to be able to provide more useful information to tourists in their travel plans through linkage with the services for recommending tourist attractions built in the Internet environment.

• Journal of Industrial Convergence
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• v.18 no.3
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• pp.53-61
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• 2020

Travel speed is an important parameter for measuring road traffic and incident detection system. In this paper I suggests a model developed for estimating reliable and accurate average roadway link travel speeds using image processing sensor. This method extracts the vehicles from the video image from CCTV, tracks the moving vehicles using deep neural network, and extracts traffic information such as link travel speeds and volume. The algorithm estimates link travel speeds using a robust data-fusion procedure to provide accurate link travel speeds and traffic information to the public. In the field tests, the new model performed better than existing methods.

• Journal of the Korea Society of Computer and Information
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• v.18 no.5
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• pp.121-131
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• 2013

The Internet website has become an effective marketing vehicle for travel agencies. The objective of this study is to examine theoretical relationships between travel agency's website quality, customer satisfaction, and repurchase intention. Usable data was obtained from the 373 respondents using travel agency's website within one year. Hypotheses are tested using structural equation modeling. The results indicate that travel agency's website quality has an effect on customer satisfaction as well as repurchase intention. The impact of information quality on customer satisfaction and repurchase intention is the most important factor, followed by service quality and design quality among the factors of the quality of a travel agency's website.